Moritz's AI blog · Mar 7, 2024
Embeddings for LLMs and cosine similarity explained
0Sign in to vote or save
A not too technical overview of how to map arbitrary length texts to fixed length vectors and translate semantic similarity into distances in a vector space.
Comments
Nothing yet. Say the first thing.
Sign in to join the conversation.